A novel multi objective Loading Pattern Optimization by Gravitational Search Algorithm (GSA) for WWER1000 core-Reference-Cited by-同舟云学术

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A novel multi objective Loading Pattern Optimization by Gravitational Search Algorithm (GSA) for WWER1000 core

Published:2016-11 Issue: Volume:93 Page:1-11
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Aghaie M.^ORCID,Mahmoudi S.M.

Funder

Shahid Beheshti University G. C.

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference52 articles.

1. Investigation of PWR core optimization using harmony search algorithms;Aghaie;Ann. Nucl. Energy,2013

2. Advanced progressive real coded genetic algorithm for nuclear system availability optimization through preventive maintenance scheduling;Aghaie;Ann. Nucl. Energy,2013

3. Enhancement of COBRA-EN capability for VVER reactors calculations;Aghaie;Ann. Nucl. Energy,2012

4. Transient analysis of break below the grid in Tehran research reactor using the newly enhanced COBRA-EN code;Aghaie;Ann. Nucl. Energy,2012

5. Optimization of fuel core loading pattern in WWER nuclear power reactors using Partial Swarm Optimization (PSO);Babazadeh;Ann. Nucl. Energy,2009

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